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F&N Bulletin Vol 23 No 1b - United Nations University

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46<br />

E-S. Tee et al.<br />

TABLE 7. Prevalence of undernutrition among urban and rural primary schoolchildren<br />

Height-for-age Weight-for-age Weight-for-height<br />

Children n < –2 SD (%) n < –2 SD (%) n < –2 SD (%)<br />

Urban<br />

Boys 3,033 8.1 3,035 7.9 2,937 4.8<br />

Girls 2,952 5.6 2,958 6.8 2,036 4.5<br />

Both sexes 5,985 6.9 5,993 7.4 4,973 4.6<br />

Rural a<br />

Boys 1,049 34.4 1,057 29.1 950 8.2<br />

Girls 1,066 24.9 1,069 26.1 731 6.2<br />

Both sexes 2,115 29.6 2,126 26.9 1,681 7.3<br />

Rural and urban<br />

Boys 4,082 4.4 4,092 3.7 3,887 1.7<br />

Girls 4,018 4.5 4,027 4.1 2,767 1.4<br />

Both sexes 8,100 4.4 8,119 3.8 6,654 1.6<br />

a. Data from World Health Organization [2].<br />

schoolchildren (1.9%) [3] (table 8). The prevalence of<br />

overweight among rural boys and girls was approximately<br />

the same at 2.0%. On the other hand, the<br />

prevalence of overweight among urban boys was about<br />

twice that among urban girls.<br />

Conclusions<br />

The mean weights and heights of boys were greater<br />

than those of girls for the younger age groups (7 and<br />

8 years). As the ages increased (9 and 10 years), the<br />

reverse was true and the girls were heavier and taller<br />

than the boys. The mean BMI was generally greater for<br />

boys in all age groups. Undernutrition, as determined<br />

by the prevalences of stunting, underweight, and wasting,<br />

was also more serious among the boys, particularly<br />

as measured by stunting and underweight.<br />

The prevalence of overweight was higher than that<br />

of wasting for both boys and girls in all age groups.<br />

Boys had a slightly higher prevalence of overweight<br />

TABLE 8. Prevalence of overweight among urban and rural<br />

schoolchildren<br />

Children n > 2 SD (%)<br />

Urban<br />

Boys 2,937 9.5<br />

Girls 2,036 5.2<br />

Both sexes 4,973 7.7<br />

Rural a<br />

Boys 1,731 2.0<br />

Girls 1,544 1.9<br />

Both 3,275 1.9<br />

Urban and rural<br />

Boys 4,668 4.8<br />

Girls 3,580 2.7<br />

Both sexes 8,248 4.1<br />

a. Data from World Health Organization [2].<br />

than girls; the difference was larger for the older<br />

children. Both undernutrition and overweight were<br />

more frequent among boys. The prevalence of undernutrition<br />

among the urban study subjects (less than<br />

8%) was much less than that among rural primary<br />

schoolchildren. On the other hand, the prevalence of<br />

overweight (about 8%) was much greater than among<br />

rural children (about 2%). The factors responsible for<br />

this difference in nutrition between rural and urban<br />

children should be investigated to provide useful lessons<br />

for the prevention and control of overweight.<br />

The analysis of weight and height measurements in<br />

this study was complicated by the fact that the study<br />

subjects ranged from 7 to 10 years old, consisting of<br />

younger primary schoolchildren in the prepuberty age<br />

group. As is well known, the NCHS data in the Anthro<br />

program are not appropriate for analyzing children<br />

over 9 years of age. The results of investigations into<br />

the use of weight-for-height Z score and BMI-for-age<br />

for the determination of thinness and overweight have<br />

been discussed earlier.<br />

The analyses suggested that the use of cutoff points<br />

of less than the 5th percentile and equal to or greater<br />

than the 85th percentile for determining the prevalences<br />

of thinness and overweight, respectively, as<br />

recommended by WHO [2], may not be appropriate.<br />

These indicators appeared to have overestimated the<br />

prevalences by a magnitude of about two to three.<br />

To overcome the problem for overweight, the cutoff<br />

was set at at or above the 95th percentile, and the<br />

figures obtained are felt to be more realistic. The use<br />

of less than the 3rd percentile of the reference data<br />

for underweight would probably give prevalence data<br />

closer to those obtained by using the weight-for-height<br />

Z score.<br />

It is important to determine whether these findings<br />

of differences in prevalences of thinness and overweight<br />

using the two methods of analysis are observed<br />

for other communities. It may be necessary to change

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